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CHAPTER 19: HOW ACCURATE IS CBA?

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Title: CHAPTER 19: HOW ACCURATE IS CBA?


1
CHAPTER 19 HOW ACCURATE IS CBA?
  • Purpose To evaluate the accuracy of CBA

2
CBA depends on accuracy
  • One way of assessing accuracy is by performing
    analyses of the same project at different times
    and to compare the results.
  • There are three temporal CBA types
  • Ex ante (EA) CBA prior to project t year0 T
    the end of the project
  • Ex post (EP) CBA after the project tgtT
  • In media res (IMR) CBA during the project 0lttltT

3
SOURCES OF ERROR IN CBA STUDIES
  • Errors may arise for a number of reasons,
    including managers bureaucratic lens
    (organizational perspective/self-interest).
  • There is evidence that managers generally tend to
    overestimate benefits and underestimate costs. It
    is possible to somewhat offset such biases with
    the use of an independent analyst.

4
Most error arises from four causes
  • Omission errors.
  • Forecast errors.
  • Valuation errors.
  • Measurement errors.

5
Omission Errors
  • Exclusion of an effect category due to the low
    probability of occurrence, highly technical
    nature of the project, scientific disagreements
    over the physical effects, etc.
  • Double counting. Often from counting an effect
    in both the primary and secondary market. This
    is likely to be less of a problem as time (and
    the project) goes on.

6
Forecasting Errors
  • Can occur from inherent difficulties, such as
    difficulty in predicting technological change.
  • They can also arise from cognitive biases,
    changing project specifications, or for strategic
    reasons

7
Difficulty of accurate forecasting
  • Increases as projects are more complex, unique,
    further in future, and involve unknown
    cause-and-effect relationships.
  • Unknown cause-and-effect usually occurs when
    there is uncertainty in the underlying scientific
    relationships, or when the project is new and
    untried.

8
Difficulty of accurate forecasting
  • Cognitive biases are endemic. People
    systematically underweight low probability bad
    events and systematically overweight low
    probability good events.
  • Selection bias
  • Changing project specifications. Large and
    complex projects are often modified when
    underway when modified, EA/EP comparisons may
    end up comparing apples and oranges.

9
Measurement Errors
  • The extent of measurement error depends on the
    quality of measurement equipment, e.g., the
    accounting system.
  • Accurate monetary estimates of the value of some
    effects (i.e., time saved or lives saved) have
    been scarce
  • Unanticipated relative price changes (can also be
    seen as a forecasting error) can have significant
    effects, especially on big infrastructure
    development projects.

10
DISTRIBUTION OF NET BENEFIT OVER TIME
  • Net benefit (NB) has a probability density
    function
  • Ft (NBt, ???????
  • Where???????mean???????varience?????????Expected
    value of NB

11
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12
The effects of time on the four kinds of CBA
errors
  • Omission errors these errors decline over time.
  • Forecasting errors these errors decrease as the
    effects occur. Errors could still be a problem
    with the counterfactual.
  • Measurement errors these are not really
    affected by the passage of time.
  • Valuation errors these decrease over time, but
    could still be present at T.

13
SUMMARY OF THE CBAs OF THE COQUIHALLA HIGHWAY
  • The Coquihalla highway is a toll road that was
    actually built in British Columbia in three
    phases (I 1986 II 1987 III -1990)

14
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15
Three CBAs of the Coquihalla
  • Waters Meyers (WM) 1986 EA
  • Mallery (MLY) 1987 IMR.
  • Boardman, Mallery, Vining (BMV) 1993 more
    EP.

16
Analysis of the Differences among the CBAs
17
Omission Problems Differences
  • None of the studies explicitly included the
    opportunity cost of land (minimal overall
    effect), environmental costs (probably minimal
    since several environmental costs were
    incorporated into construction costs), or
    regional development benefits (possibly related
    to positive externalities)

18
Forecasting Differences 1
  • Traffic volume data forecasting is of most
    interest because it is crucial to the accuracy of
    a highway CBA)
  • WM This CBA slightly overestimated initial use
    and seriously underestimated future use.
  • MLY This CBA estimated 3 annual traffic growth
    (5 actual) and predicted a 20 increase after
    Phase III (40 actual).
  • BMV This CBA used actual data through 1990 and
    then projected 5 annual growth rates (doesn't
    say how accurate it was).

19
Forecasting Differences 2
  • Time and distance savings estimates varied due to
    changes in the final design and different sources
    used to measure distance (time, therefore, also
    varied since its based on distance).
  • Also, the three studies used different methods
    to estimate congestion savings on alternate
    routes.
  • MW and MLY used a flat 20-minute time savings
    during congested periods (less for local
    traffic).
  • BMV used a kph savings for the alternate routes.

20
Forecasting Differences 3
  • Accident rate estimates varied. Safety benefits
    accrue from both the shorter distance traveled
    and from driving on a safer highway.
  • MW and MLY estimated the benefits by multiplying
    the distance (either total distance for a safer
    road or a shorter distance for the shorter road)
    by an estimate for accident rates for that type
    of highway. Both MW and MLY underestimated the
    benefits.
  • BMV used actual data on accident rates.

21
Estimation/Measurement Differences
  • There were difficulties in accurately measuring
    maintenance and construction costs
  • Maintenance expenses Even EP studies can suffer
    from measurement errors.
  • Construction costs These can be difficult to
    measure even after the project is completed.

22
Valuation Differences
  • These differences can arise from differing
    estimates of any relevant parameter.
  • Studies similar in valuing time savings, but
    different in estimation of gross wage rates and
    in vehicle operating costs.
  • Value of safety benefits. WM and MLY used
    similar value of life estimates BMV used a much
    higher value for an avoided fatality in
    accordance to recent research.
  • Terminal value. Used 75-85 of initial
    construction cost as the terminal value

23
Conclusions arising from the IMR, EP versus EA
Comparisons
24
Did EA and IMR Analyses Have Overall Predictive
Capability?
  • Both the EA analysis and the IMR analysis showed
    significantly less NPV than the EP study.
  • Actual differences could also be understated by
    some differences in costs and benefits
    estimations canceling each other out or
    offsetting each other within the same category.
  • A single study cant answer all the questions on
    the accuracy of a CBA.

25
Other Lessons from this Comparison Study
  • Errors can compound one another (i.e., when one
    estimate with error depends on other estimates
    with error, the error becomes compounded).
  • One should attempt to generate at least rough
    independent estimates.
  • Strategic bias can affect alternatives as well as
    favored projects, i.e., they could overestimate
    costs and underestimate benefits on the
    alternatives.
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